Development Quality Engineer I

Abbott

Los Angeles (CA)

On-site

USD 74,000 - 116,000

Full time

12 hours ago
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Job summary

Abbott in Sylmar, CA is hiring a Data Scientist I to lead quantitative analyses and data interpretation for device lifecycle management. You will collect, clean, and analyze data, build models, and present insights to management, while collaborating with engineers and vendors to ensure rigor and compliance.

The role requires a strong foundation in statistics, ML techniques, and programming in Python/SQL, with 1+ year in related areas and a drive to improve processes within a highly dynamic

Qualifications

  • Bachelor’s degree in Engineering, Life Sciences, or Physical Sciences, or equivalent.
  • Minimum 1 year of experience in pacing industry; quality experience is desired.
  • Strong written and verbal communication, interpersonal, presentation, analytical, organizational skills.
  • Ability to work effectively with engineers, technical specialists, vendors, and customers to achieve goals; manage multiple assignments.

Responsibilities

  • Perform quantitative analysis and data management.
  • Collect, clean, analyze, predict, and effectively communicate information.
  • Develop analysis plans to answer key business questions and create value for the organization.
  • Understand ML algorithms and advanced statistics (regression, time-series forecasting, clustering, decision trees, modeling).
  • Analyze data and present results to site and executive management in a cohesive manner.
  • Collaborate with cross-functional teams to validate data models and methodologies.
  • Identify opportunities to improve data lifecycle and processes and drive continuous improvement.
  • Support audits and ensure compliance with regulations and site procedures.

Skills

Quantitative analysis
Data management
Machine learning
Statistics
Python
SQL
R
Cross-functional teams

Education

Bachelor's degree in Engineering, Life Sciences, or Physical Sciences

Tools

SQL
Python
R
Java
Scala
C++ (Linux/Unix)

Job description

Location United States - California - Sylmar Category Quality

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.

A healthy heart is essential to good health. That's why we're committed to advancing treatments for people with cardiovascular disease. As a global leader in Cardiac Rhythm Technologies, our breakthrough medical technologies help restore people's health so they can get back to living their best lives, faster. We focus on innovative technologies that can improve the way doctors treat people with heart arrhythmias, or irregular heartbeats.

We are seeking an experienced, high caliber Data Scientist, I for our Sylmar, CA .

Responsible for ensuring the requirements for Device/Combination Products through the execution of Abbott standard operating procedure and Product Lifecycle Management.

WHAT YOU’LL DO

Particularly skilled in quantitative analysis and data management

Utilize technologies to collect, clean, analyze, predict, and effectively communicate information

Able to examine and interpret relevant data to quickly develop an analysis plan that will answer key business questions and create value for the organization.

Understanding of machine learning algorithms and advanced statistics such as: regression, time-series forecasting, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, optimization

Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to site and executive management.

Ability to work with cross-functional teams to devise test methodologies to ensure validity of the data models being presented.

Work closely with the business to understand the domain and iteratively refine analyses

Identifies opportunities to improve the efficiency and effectiveness of the systems and process being examined (process improvement/reengineering projects).

Identify and implement continuous improvement opportunities throughout the data lifecycle.

Act as Subject Matter Expert in cross functional team meetings as well as internal and external audits.

Ensure compliance with associated regulations, standards, and site procedures.

May demonstrate basic project management skills by acting as a project lead on small, well defined project. Influence exerted at peer level and occasionally at first levels of management.

Qualifications

Bachelors Degree (± 16 years) Engineering, Life Sciences, or Physical Sciences OR an equivalent combination of education and work experience

Experience:

Minimum 1 year

1-2 years experience in pacing industry. Quality experience desired. Must have demonstrated written and verbal communication, interpersonal, presentation, analytical, organizational skills, and the ability to meet deadlines.

Must be able to work effectively with engineers, technical specialists, vendors, and customers to achieve assigned goals; must be capable of coordinating multiple assignments simultaneously and effectively.

Must possess demonstrated personal computer skills (experience with Microsoft Office or equivalent required) in graphics, word-processing, databases, authoring programs, etc., to develop presentation materials.

Experience working in a broader enterprise/cross-division business unit model preferred.

Ability to work in a highly matrixed and geographically diverse business environment.

Ability to work within a team and as an individual contributor in a fast-paced, changing environment.

Ability to leverage and/or engage others to accomplish projects. Strong verbal and written communications with ability to effectively communicate at multiple levels in the organization.

Multitasks, prioritizes and meets deadlines in timely manner. Strong organizational and follow-up skills, as well as attention to detail.

Ability to travel.

0-2 years of experience in Quality Assurance, Technical Quality, or equivalent; Some knowledge in the areas of Design Controls, VV activities, manufacturing practices or processes, and statistical techniques. Drive to learn applicable regulations and standards such as FDA, QSR and ISO regulations. Demonstrated written, oral and interpersonal skills. Strong analytical skills, problem solving techniques and statistical application experience.

Preferred Qualifications

Bachelors Degree focused in Data Analytics, Data Science or similar discipline including Engineering, Mathematics, Computer science, Statistics or Physics preferred

1-2 years’ of related work experience with a good understanding of specified functional area.

Experience working in life sciences or healthcare industry preferred.

Working experience with database applications including programming experience (e.g. SQL, Python, R, Java, Scala, C++ in Linux/Unix and/or equivalent).

Experience implementing process improvements and efficiencies.

Excellent verbal and written communications skills to explain data analysis findings.

Self-starter who can plan their own work to meet deadlines.

Strong interpersonal skills, be self-motivated, have a strong desire to learn, and be adaptable to a fast paced, ever-changing environment.

The base pay for this position is $73,900.00 – $116,000.00. In specific locations, the pay range may vary from the range posted.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and

Job Id 31165064 LocationUnited States - California - Sylmar Medical surveillance Not Applicable Division CRM Cardiac Rhythm Management Travel Yes, 5 % of the Time Additional Location Significant work activities Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day); Keyboard use (greater or equal to 50% of the workday)

INNOVATIVE BENEFITS

We support our colleagues around the world as they care for themselves and their families with offerings tailored to their unique needs.

DIVERSITY & INCLUSION

We strive to provide environments where all employees feel welcome and able to bring their full selves to work. To do this we integrate diversity, equity, and inclusion across Abbott.

SUSTAINABILITY FOR OUR FUTURE

At Abbott, sustainability means managing our efforts so we can help the greatest number of people around the world live fuller lives through better health.

WE'RE RECOGNIZED AROUND THE WORLD

DOW JONES SUSTAINABILITY INDEX

BEST CORPORATE CITIZENS

FORTUNE CHANGE
THE WORLD

FORTUNE'S MOST ADMIRED COMPANIES

JOIN OUR TALENT COMMUNITY

We will notify you about relevant positions, and keep you in mind when we have interesting opportunities.

An Equal Opportunity Employer
Abbott is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Employment decisions are based on qualifications, merit, and business needs.
> EEO (ENGLISH) >> EEO (SPANISH) >> PAY TRANSPARENCY NONDISCRIMINATION PROVISION
We provide reasonable workplace accommodations. U.S. residents only: To request accommodation, please call 224-667-0340 or email corpjat@abbott.com.
Abbott is committed to pay equity and transparency. Compensation is determined using objective, job-related, and gender-neutral criteria in compliance with applicable laws and local regulations.

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